Lightweight AI-assisted brand audit and business-positioning prototype.
StretchBAS stands for Stretch Brand Audit System. This public proof repository captures the lightweight concept for turning business inputs, website evidence, positioning signals, and human review into structured brand and marketing recommendations.
Small businesses often invest in websites, ads, social content, and campaigns before the basics are clear:
- who the offer is for;
- why the offer matters;
- what the business should be known for;
- what makes the message credible;
- what content should be created next;
- what is blocking conversion.
The result is scattered marketing activity without a strong operating diagnosis.
StretchBAS Lite is planned to help analyze a business and generate reviewable outputs such as:
- brand-positioning summary;
- audience / ICP notes;
- offer clarity score;
- messaging gaps;
- content opportunities;
- campaign-readiness notes;
- website and trust-signal observations;
- prioritized improvement recommendations.
StretchBAS should not produce generic marketing advice. It should work from structured inputs, evidence, scoring criteria, and human review.
Planned workflow:
- Collect business and offer context.
- Ingest website or content evidence where available.
- Score positioning, audience clarity, offer clarity, and trust signals.
- Generate structured findings.
- Produce recommendations with evidence and rationale.
- Route outputs through human review before client delivery.
| Area | Questions |
|---|---|
| Positioning | Is the business clearly differentiated? |
| Audience | Is the ideal customer specific enough? |
| Offer | Is the offer understandable and valuable? |
| Messaging | Does the copy explain the problem, value, and next step? |
| Trust | Are proof, credibility, and risk reducers present? |
| Content | Are there obvious content gaps or campaign opportunities? |
| Conversion | Is the user path clear enough to act? |
- Python for scoring, extraction, and report utilities.
- TypeScript / Next.js for admin/review interfaces.
- Structured JSON outputs for repeatable analysis.
- AI-assisted report generation.
- Human-reviewed markdown/PDF-style reports.
- Future integration with crawler/search intelligence.
Outputs are decision support, not final authority. Any client-facing recommendations should be reviewed, edited, and approved by a human operator.
Public proof repository. Documentation-first prototype. The current purpose is to show product thinking, workflow design, AI-assisted analysis structure, and the path toward implementation.
- Prototype Portfolio: https://dev.ross-stretch.com/prototype-portfolio
- GitHub Profile: https://github.com/ross-stretch